Working with the Electronic Health Record and Laboratory Information System to Maximize Ordering and Reporting of Molecular Microbiology Results.

Autor:	Starolis MW; Molecular Infectious Disease, Quest Diagnostics, 14225 Newbrook Drive, Chantilly, VA 20151, USA. Electronic address: meghan.w.starolis@questdiagnostics.com., Zaydman MA; Department of Pathology & Immunology, Washington University School of Medicine, Campus Box 8118, 660 South Euclid Avenue, St Louis, MO 63110, USA., Liesman RM; Clinical Microbiology and Molecular Diagnostics Pathology, Department of Pathology, Medical College of Wisconsin, 9200 West Wisconsin, Milwaukee, WI 53226, USA.
Jazyk:	angličtina
Zdroj:	Clinics in laboratory medicine [Clin Lab Med] 2024 Mar; Vol. 44 (1), pp. 95-107. Date of Electronic Publication: 2023 Dec 06.
DOI:	10.1016/j.cll.2023.10.009
Abstrakt:	Molecular microbiology assays have a higher cost of testing compared to traditional methods and need to be utilized appropriately. Results from these assays may also require interpretation and appropriate follow-up. Electronic tools available in the electronic health record and laboratory information system can be deployed both preanalytically and postanalytically to influence ordering behaviors and positively impact diagnostic stewardship. Next generation technologies, such as machine learning and artificial intelligence, have the potential to expand upon the capabilities currently available and warrant additional study and development but also require regulation around their use in health care. Competing Interests: Disclosure M.W. Starolis discloses that she is a full-time employee and stockholder of Quest Diagnostics. M.W. Starolis is an elected council member of the Pan American Society of Clinical Virology (PASCV), and chair of the PASCV Clinical Practice Committee. M.W. Starolis has served as an unpaid advisor to Roche and Bio-Rad. R.M. Liesman is a member of the PASCV Clinical Practice Committee. M.A. Zaydman has received speaking honoraria from Siemens and Sebia and speaking honoraria with travel support from the Association for Diagnostic and Laboratory Medicine (ADLM) and the Association of Pathology Informatics. M.A. Zaydman serves as a committee member on the ADLM Data Analytics Steering Committee. M.A. Zaydman received research support from bioMérieux. M.A. Zaydman holds provisional patents, US 20210311046 A1 and US2022/071184. (Copyright © 2023 Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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